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The Ability of the Acute Physiology and Chronic Health Evaluation (APACHE) IV Score to Predict Mortality in a Single Tertiary Hospital.
Choi, Jae Woo; Park, Young Sun; Lee, Young Seok; Park, Yeon Hee; Chung, Chaeuk; Park, Dong Il; Kwon, In Sun; Lee, Ju Sang; Min, Na Eun; Park, Jeong Eun; Yoo, Sang Hoon; Chon, Gyu Rak; Sul, Young Hoon; Moon, Jae Young.
Afiliação
  • Choi JW; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Cheongju St. Mary's Hospital, Cheongju, Korea.
  • Park YS; Department of Nursing Care, Chungnam National University Hospital, Daejeon, Korea.
  • Lee YS; Division of Pulmonology and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
  • Park YH; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea.
  • Chung C; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea.
  • Park DI; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea.
  • Kwon IS; Clinical Trial Center, Chungnam National University Hospital, Daejeon, Korea.
  • Lee JS; Department of Nursing Care, Chungnam National University Hospital, Daejeon, Korea.
  • Min NE; Department of Nursing Care, Chungnam National University Hospital, Daejeon, Korea.
  • Park JE; Department of Nursing Care, Chungnam National University Hospital, Daejeon, Korea.
  • Yoo SH; Division of Pulmonology, Department of Internal Medicine, Chamjoeun Hospital, Gwangju, Korea.
  • Chon GR; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Cheongju St. Mary's Hospital, Cheongju, Korea.
  • Sul YH; Department of Surgery, Chungbuk National University College of Medicine, Cheongju, Korea.
  • Moon JY; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea.
Korean J Crit Care Med ; 32(3): 275-283, 2017 Aug.
Article em En | MEDLINE | ID: mdl-31723646
ABSTRACT

BACKGROUND:

The Acute Physiology and Chronic Health Evaluation (APACHE) II model has been widely used in Korea. However, there have been few studies on the APACHE IV model in Korean intensive care units (ICUs). The aim of this study was to compare the ability of APACHE IV and APACHE II in predicting hospital mortality, and to investigate the ability of APACHE IV as a critical care triage criterion.

METHODS:

The study was designed as a prospective cohort study. Measurements of discrimination and calibration were performed using the area under the receiver operating characteristic curve (AUROC) and the Hosmer-Lemeshow goodness-of-fit test respectively. We also calculated the standardized mortality ratio (SMR).

RESULTS:

The APACHE IV score, the Charlson Comorbidity index (CCI) score, acute respiratory distress syndrome, and unplanned ICU admissions were independently associated with hospital mortality. The calibration, discrimination, and SMR of APACHE IV were good (H = 7.67, P = 0.465; C = 3.42, P = 0.905; AUROC = 0.759; SMR = 1.00). However, the explanatory power of an APACHE IV score >93 alone on hospital mortality was low at 44.1%. The explanatory power was increased to 53.8% when the hospital mortality was predicted using a model that considers APACHE IV >93 scores, medical admission, and risk factors for CCI >3 coincidentally. However, the discriminative ability of the prediction model was unsatisfactory (C index <0.70).

CONCLUSIONS:

The APACHE IV presented good discrimination, calibration, and SMR for hospital mortality.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article